code: def test_shortest_path_indices():
      indices = np.arange(4)
  
      def check(func, indshape):
          outshape = indshape + (5,)
          SP = func(
              directed_G,
              directed=False,
              indices=indices.reshape(indshape),
          )
          assert_array_almost_equal(
              SP, undirected_SP[indices].reshape(outshape)
          )
  
      for indshape in [(4,), (4, 1), (2, 2)]:
          for func in (dijkstra, bellman_ford, johnson, shortest_path):
              check(func, indshape)
  
      assert_raises(
          ValueError,
          shortest_path,
          directed_G,
          method="FW",
          indices=indices,
      )
  
imports: from io import StringIO
  import warnings
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal, assert_allclose
  from pytest import raises
  from scipy.sparse.csgraph import shortest_path, dijkstra, johnson, bellman_ford, construct_dist_matrix, NegativeCycleError
  import scipy.sparse
  from scipy.io import mmread
  import pytest
label_desc: Use image node_id 10 for calling a global function with example usage: test_shortest_path_indices() without return types